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Nvidia adds container support into AI Enterprise suite

#artificialintelligence

Nvidia has rolled out the latest version of its AI Enterprise suite for GPU-accelerated workloads, adding integration for VMware's vSphere with Tanzu to enable organisations to run workloads in both containers and inside virtual machines. Available now, Nvidia AI Enterprise 1.1 is an updated release of the suite that GPUzilla delivered last year in collaboration with VMware. It is essentially a collection of enterprise-grade AI tools and frameworks certified and supported by Nvidia to help organisations develop and operate a range of AI applications. That's so long as those organisations are running VMware, of course, which a great many enterprises still use in order to manage virtual machines across their environment, but many also do not. However, as noted by Gary Chen, research director for Software Defined Compute at IDC, deploying AI workloads is a complex task requiring orchestration across many layers of infrastructure.


Nvidia and VMware team up to help enterprises scale up AI development

#artificialintelligence

Enterprises can begin to run trials of their AI projects using VMware vSphere with Tanzu together with Nvidia AI Enterprise software suite, as part of moves by both companies to further simplify AI development and application management. By extending testing to vSphere with Tanzu, Nvidia boasts it will enable developers to run AI workloads on Kubernetes containers within their existing VMware environments. The software suite will run on mainstream Nvidia-certified systems, the company said, noting it would provide a complete software and hardware stack suitable for AI development. "Nvidia has gone and invested in building all of the next-generation cloud application-level components, where you can now take the NGC libraries, which are container-based, and run those in a Kubernetes orchestrated VMware environment, so you're getting the ability now to go and bridge the world of developers and infrastructure," VMware cloud infrastructure business group marketing VP Lee Caswell told media. The move comes off the back of VMware announcing Nvidia AI Enterprise in March.


Nvidia and VMware team up to help enterprises scale up AI development

ZDNet

Enterprises can begin to run trials of their AI projects using VMware vSphere with Tanzu together with Nvidia AI Enterprises software suite, as part of moves by both companies to further simplify AI development and application management. By extending testing to vSphere with Tanzu, Nvidia boasts it will enable developers to run AI workloads on Kubernetes containers within their existing VMware environments. The software suite will run on mainstream Nvidia-certified systems, the company said, noting it would provide a complete software and hardware stack suitable for AI development. "Nvidia has gone and invested in building all of the next-generation cloud application-level components, where you can now take the NGC libraries, which are container-based, and run those in a Kubernetes orchestrated VMware environment, so you're getting the ability now to go and bridge the world of developers and infrastructure," VMware cloud infrastructure business group marketing VP Lee Caswell told media. The move comes off the back of VMware announcing Nvidia AI Enterprise in March.


The Top 100 Software Companies of 2021

#artificialintelligence

The Software Report is pleased to announce The Top 100 Software Companies of 2021. This year's awardee list is comprised of a wide range of companies from the most well-known such as Microsoft, Adobe, and Salesforce to the relatively newer but rapidly growing - Qualtrics, Atlassian, and Asana. A good number of awardees may be new names to some but that should be no surprise given software has always been an industry of startups that seemingly came out of nowhere to create and dominate a new space. Software has become the backbone of our economy. From large enterprises to small businesses, most all rely on software whether for accounting, marketing, sales, supply chain, or a myriad of other functions. Software has become the dominant industry of our time and as such, we place a significance on highlighting the best companies leading the industry forward. The following awardees were nominated and selected based on a thorough evaluation process. Among the key criteria considered were ...


Steven Fleischman on LinkedIn: Industry Standard AI infrastructure powered by HPE, VMware, and NVIDIA

#artificialintelligence

AI technology used to be limited to advanced research teams. It is now a key capability for many businesses to improve sales and product quality, provide deep personalisation and new interfaces, and to improve safety and reduce risk. AI is materially changing how we interact with and benefit from technology. Having ready access to and consistent operational control over AI infrastructure is a game changer that democratizes AI for enterprises and opens access to many new use cases.


VMware's vSphere software now certified to run Nvidia AI workloads

ZDNet

VMware on Tuesday announced updates to its server virtualization software vSphere, including the latest progress in its partnership with Nvidia aimed at accelerating AI adoption. The company also announced updates to its storage virtualization portfolio vSAN 7 and said that both of the new releases will support enterprises with developer- and AI-ready infrastructure. On the server virtualization front, VMware announced that Nvidia AI workloads are certified to run on vSphere 7. The new Nvidia software suite, officially named Nvidia AI Enterprise, aims to give enterprises the ability to develop AI software for a range of applications such as advanced diagnostics in healthcare, smart factories for manufacturing, and fraud detection in financial services. According to VMware and Nvidia, the software suite provides multi-node, AI application performance on vSphere that is indistinguishable from bare-metal servers. Currently, vSphere 7 is the only virtualization platform certified to support the Nvidia AI software suite.


VMware CEO on preparing for a pandemic no one knew was coming

ZDNet

VMware's VMworld 2020 was, like many other annual tech events, forced to shift online this year. But with a slew of announcements made during the event centred on the future of work and succeeding in this new paradigm, it was almost like VMware was ready for a rapid shift in its customer's operations. "My job every day is position VMware so that we're better positioned for the strategic future, where technologies are going, and clearly this year, as we would say, for an unpredictable world," VMware CEO Pat Gelsinger said. Speaking with ZDNet, Gelsinger said his company "flipped" to remote working over a weekend and "hasn't looked back". The lessons the company learned internally were then translated to helping customers.


VMware, Nvidia partner to make AI chips easier for businesses to use

#artificialintelligence

VMware makes software that helps businesses get more work out of data center servers by slicing physical machines into "virtual" ones so that more applications can be packed onto each physical machine. Its tools are commonly used by large businesses that operate their own data centers as well as businesses that use cloud computing data centers. For many years, much of VMware's work focused on making software work better with processors from Intel Corp, which had a dominant market share of data centers. In recent years, as businesses have turned to AI for everything from speech recognition to recognizing patterns in financial data, Nvidia's market share in data centers has been expanding because its chips are used to speed up such work. VMware's software tools will work smoothly with Nvidia's chips to run AI applications without "any kind of specialized setup," Krish Prasad, head of VMware's cloud platform business unit, said during a press briefing.


VMware, Nvidia integrate on architecture, technology as they aim to accelerate AI adoption

ZDNet

VMware and Nvidia are integrating the latter's artificial intelligence applications for unified management of apps, security and data processing unit accelerators. The partnership secures Nvidia's role in hybrid clouds as VMware outlined an architecture that incorporates data processing units (DPUs) in the data center, cloud and edge. Specifically, AI software on Nvidia's NGC hub will be integrated into VMware vSphere, Cloud Foundation and Tanzu. Both companies said the bet was that the integration would be able to speed up AI adoption in enterprises. Krish Prasad, general manager of VMware's cloud platform business, said "AI workloads no longer need any kind of specialized set up based on bare metal or specialized tools to run it."


The History, Status, and Future of FPGAs

Communications of the ACM

This article is a summary of a three-hour discussion at Stanford University in September 2019 among the authors. It has been written with combined experiences at and with organizations such as Zilog, Altera, Xilinx, Achronix, Intel, IBM, Stanford, MIT, Berkeley, University of Wisconsin, the Technion, Fairchild, Bell Labs, Bigstream, Google, DIGITAL (DEC), SUN, Nokia, SRI, Hitachi, Silicom, Maxeler Technologies, VMware, Xerox PARC, Cisco, and many others. These organizations are not responsible for the content, but may have inspired the authors in some ways, to arrive at the colorful ride through FPGA space described here. Field-programmable gate arrays (FPGAs) have been hitting a nerve in the ASIC community since their inception. In the mid-1980s, Ross Freeman and his colleagues bought the technology from Zilog and started Xilinx, targeting the ASIC emulation and education markets.